Estimating Completeness of VGI Datasets by Analyzing Community Activity Over Time Periods

Gröchenig, Simon; Brunauer, Richard; Rehrl, Karl

doi:10.1007/978-3-319-03611-3_1

Cited by 30 publications

(45 citation statements)

References 18 publications

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“…A first attempt towards a conceptual model for analysis of mapping activities has been proposed by Rehrl et al [18]. In subsequent works [19][20][21][22], this model has been used as foundation for arbitrary spatio-temporal analysis.…”

Section: Related Workmentioning

confidence: 99%

“…Although in the past the majority of quality assessments have been based on comparisons of VGI datasets with other datasets, intrinsic assessments have recently gained attention [17]. In [20] it has been demonstrated that an estimation of the completeness of a dataset could be derived from an analysis of the community activity over time periods. This estimation classifies the mapping progress of a raster cell or region in three activity stages, namely "Start", "Growth" and "Saturation".…”

Section: Estimating Completenessmentioning

confidence: 99%

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A Framework for Data-Centric Analysis of Mapping Activity in the Context of Volunteered Geographic Information

Rehrl

Gröchenig

2016

IJGI

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Abstract:Over the last decade, volunteered geographic information (VGI) has become established as one of the most relevant geographic data sources in terms of worldwide coverage, representation of local knowledge and open data policies. Beside the data itself, data about community activity provides valuable insights into the mapping progress which can be useful for estimating data quality, understanding the activity of VGI communities or predicting future developments. This work proposes a conceptual as well as technical framework for structuring and analyzing mapping activity building on the concepts of activity theory. Taking OpenStreetMap as an example, the work outlines the necessary steps for converting database changes into user-and feature-centered operations and higher-level actions acting as a universal scheme for arbitrary spatio-temporal analyses of mapping activities. Different examples from continent to region and city-scale analyses demonstrate the practicability of the approach. Instead of focusing on the interpretation of specific analysis results, the work contributes on a meta-level by addressing several conceptual and technical questions with respect to the overall process of analyzing VGI community activity.

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Section: Related Workmentioning

confidence: 99%

Section: Estimating Completenessmentioning

confidence: 99%

A Framework for Data-Centric Analysis of Mapping Activity in the Context of Volunteered Geographic Information

Rehrl

Gröchenig

2016

IJGI

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“…The tools and services used to produce and process the data are neither. The data are rather edited and the folksonomy and tools created on a voluntary basis by individuals who coordinate their activities, leading to strong heterogeneity among the users and their mapping behaviour [11,12]; among the choice of what to map; among the chosen representation; and among the sources used to map, for example, aerial images, local knowledge, and GPS tracks. This heterogeneity implies that some regions are mapped more complete than others [11,12]; concepts are used differently [13]; the data are not always up to date [12]; and locations are described with differing precision [12].…”

Section: Introductionmentioning

confidence: 99%

“…Hashemi et al [31] have assessed the logical consistency; Ballatore et al [6], the conceptual quality; and Vandecasteele et al [32] and Mooney et al [13] have discussed the influence of the tagging process on data quality. Some intrinsic quality measures have been discussed by Mooney et al [33] and Gröchenig et al [11]. A general overview over methods and indicators to assess data quality of OSM has been provided by Barron et al [34] and Senaratne et al [7].…”

Section: Introductionmentioning

confidence: 99%

Open source data mining infrastructure for exploring and analysing OpenStreetMap

Mocnik

Mobasheri

Zipf

2018

Open geospatial data, softw. stand.

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OpenStreetMap and other Volunteered Geographic Information datasets have been explored in the last years, with the aim of understanding how their meaning is rendered, of assessing their quality, and of understanding the community-driven process that creates and maintains the data. Research mostly focuses either on the data themselves while ignoring the social processes behind, or solely discusses the community-driven process without making sense of the data at a larger scale. A holistic understanding that takes these and other aspects into account is, however, seldom gained. This article describes a server infrastructure to collect and process data about different aspects of OpenStreetMap. The resulting data are offered publicly in a common container format, which fosters the simultaneous examination of different aspects with the aim of gaining a more holistic view and facilitates the results' reproducibility. As an example of such uses, we discuss the project OSMvis. This project offers a number of visualizations, which use the datasets produced by the server infrastructure to explore and visually analyse different aspects of OpenStreetMap. While the server infrastructure can serve as a blueprint for similar endeavours, the created datasets are of interest themselves too.

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“…Further, information about contributors who upload and edit the map is also metadata. Researchers [6,27,39,40,[66][67][68][69] have used various methods to assess the completeness of the OSM using various intrinsic indicators as discussed in Table 1. Table 1.…”

Section: Completenessmentioning

confidence: 99%

Assessing OpenStreetMap Data Using Intrinsic Quality Indicators: An Extension to the QGIS Processing Toolbox

Sehra

Singh

2017

Future Internet

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OpenStreetMap (OSM) is a recent emerging area in computational science. There are several unexplored issues in the quality assessment of OSM. Firstly, researchers are using various established assessment methods by comparing OSM with authoritative dataset. However, these methods are unsuitable to assess OSM data quality in the case of the non-availability of authoritative data. In such a scenario, the intrinsic quality indicators can be used to assess the quality. Secondly, a framework for data assessment specific to different geographic information system (GIS) domains is not available. In this light, the current study presents an extension of the Quantum GIS (QGIS) processing toolbox by using existing functionalities and writing new scripts to handle spatial data. This would enable researchers to assess the completeness of spatial data using intrinsic indicators. The study also proposed a heuristic approach to test the road navigability of OSM data. The developed models are applied on Punjab (India) OSM data. The results suggest that the OSM project in Punjab (India) is progressing at a slow peace, and contributors' motivation is required to enhance the fitness of data. It is concluded that the scripts developed to provide an intuitive method to assess the OSM data based on quality indicators can be easily utilized for evaluating the fitness-of-use of the data of any region.

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Estimating Completeness of VGI Datasets by Analyzing Community Activity Over Time Periods

Cited by 30 publications

References 18 publications

A Framework for Data-Centric Analysis of Mapping Activity in the Context of Volunteered Geographic Information

A Framework for Data-Centric Analysis of Mapping Activity in the Context of Volunteered Geographic Information

Open source data mining infrastructure for exploring and analysing OpenStreetMap

Assessing OpenStreetMap Data Using Intrinsic Quality Indicators: An Extension to the QGIS Processing Toolbox

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